Triple

T14285033
Position Surface form Disambiguated ID Type / Status
Subject 2016 International Highrise Award E354146 entity
Predicate sponsor P67 FINISHED
Object DekaBank E1090699 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DekaBank | Statement: [2016 International Highrise Award, sponsor, DekaBank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DekaBank
Context triple: [2016 International Highrise Award, sponsor, DekaBank]
  • A. DekaBank chosen
    DekaBank is a major German financial institution that serves as the central asset manager for the country’s savings banks network.
  • B. DZ Bank
    DZ Bank is a major German cooperative central bank that serves as the central institution for numerous cooperative banks and financial services providers across Germany.
  • C. Takasbank
    Takasbank is Turkey’s central clearing and settlement institution, providing post-trade, custody, and risk management services for the country’s capital markets.
  • D. ING Bank
    ING Bank is a global Dutch financial institution offering banking, investment, and insurance services to retail and corporate clients.
  • E. Danske Bank
    Danske Bank is a major Nordic financial institution headquartered in Copenhagen, Denmark, offering a wide range of banking and financial services across Northern Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467f3b3081908261261301674c4e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:10 a.m.